3 months ago
Base Salary
$175k - $210k/yr
Responsibilities
- Design and implement features and performance improvements for highly scalable distributed cloud data pipelines.
- Develop, maintain, and test code for core data-processing services.
- Conduct design and code reviews and resolve performance and scalability challenges.
- Collaborate with engineers, product managers, customer support, and other stakeholders to deliver a high-quality product.
- Participate periodically in the on-call rotation.
- Participate in the hiring process and mentor junior developers.
- Improve the reliability and security of customers’ data infrastructure.
Requirements
- 5+ years of software industry experience solving complex software engineering problems.
- Experience designing and developing reusable libraries and experimentation platforms for backend and frontend systems from scratch.
- Experience with distributed systems, code reviews, software design, troubleshooting, testing, and performant code development.
- Ability to lead software design to satisfy project requirements.
- Programming experience in an object-oriented or systems language such as Java, C++, or C#.
- Hands-on experience with AWS, GCP, or Azure and containerization technologies such as Docker and Kubernetes.
- Experience interacting with continuous integration tools such as Buildkite.
- Knowledge of New Relic or Grafana is preferred.
- Knowledge and usage of AI tools is preferred.
Benefits
- Full-time hybrid position based in Oakland with two days in the office each week.
- 100% employer-paid medical insurance, subject to country and worker type.
- Paid time off, paid sick time, parental leave, holidays, and volunteer days off.
- RSU stock grants.
- Professional development and training opportunities.
- Company virtual happy hours, free food, and team-building activities.
- Monthly cell phone stipend.
- Mental health support platform with therapy, coaching, and mindfulness resources.
Tech Stack
Categories
BackendData Engineering
About Fivetran
Fivetran builds a managed data integration platform that extracts data from hundreds of SaaS apps and databases and loads it into cloud data warehouses for analytics and AI teams. Sold as a subscription SaaS service, it provides prebuilt connectors, automated schema management, and ELT/replication to destinations like Snowflake, BigQuery, Databricks, and Redshift. Founded in 2012 and headquartered in Oakland, it serves customers such as Autodesk, Condé Nast, JetBlue, and Morgan Stanley.